Area of research
Civil and Structural Engineering · Polymers and Plastics
Research interest
Research topics from publications: Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia; Integrating microRNA and messenger RNA expression profiles in a rat model of deep vein thrombosis; A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques; Comparison of the serum metabolic signatures based on 1H NMR between patients and a rat model of deep vein thrombosis; Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humans; Time-dependent expression of SNAT2 mRNA in the contused skeletal muscle of rats: a possible marker for wound age estimation; Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats; Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses; Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy; Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning. Representative work: Deep vein thrombosis (DVT) is a disease involving multiple genes and systems. MicroRNAs (miRNAs) represent a class of non-coding small RNAs that post-transcriptionally suppress their target genes. The expression patterns of miRNA and messenger RNA (mRNA) in DVT remain poorly characterized. The aim of the present study was to evaluate miRNA and mRNA expression profiles in a stasis-induced DVT rat model. Male SD rats were randomly divided into three groups as follows: DVT, sham and control. The inferior vena cava (IVC) of rats was ligated to construct stasis-induced DVT models. Rats were sacrificed three days after ligation, and morphological changes in the vein tissues were observed by hemato Abstract Deep vein thrombosis (DVT) and pulmonary embolism (PE) have high morbidity, reduce quality of life, and can cause death. Biomarkers or genetic risk factors have not been identified in patients with DVT. In present study, serum of 61 patients suffering from DVT and a rat DVT model (n = 10) were assayed by a proton nuclear magnetic resonance ( 1 H NMR) metabolomics technique combing with multi
Development of a screening system of gene sets for estimating the time of early skeletal muscle injury based on second-generation sequencing technology
The Impact of Cardiovascular Disease Gene Polymorphism and Interaction with Homocysteine on Deep Vein Thrombosis
Exploring postmortem succession of rat intestinal microbiome for PMI based on machine learning algorithms and potential use for humans
Combined metabolomics and tandem machine-learning models for wound age estimation: a novel analytical strategy
Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia
A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques
Wound age estimation based on next-generation sequencing: Fitting the optimal index system using machine learning
Investigating Transcriptional Dynamics Changes and Time-Dependent Marker Gene Expression in the Early Period After Skeletal Muscle Injury in Rats
Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses
Comparison of the serum metabolic signatures based on 1H NMR between patients and a rat model of deep vein thrombosis
Expression of Wnt/β-catenin related genes after skeletal muscle contusion.
PubMed 2018cited by 3position: last
Integrating microRNA and messenger RNA expression profiles in a rat model of deep vein thrombosis
Time-dependent expression of SNAT2 mRNA in the contused skeletal muscle of rats: a possible marker for wound age estimation